Xiaohang Zhan

Orcid: 0000-0003-2136-7592

According to our database1, Xiaohang Zhan authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Open Long-Tailed Recognition in a Dynamic World.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting.
CoRR, 2023

SemanticBoost: Elevating Motion Generation with Augmented Textual Cues.
CoRR, 2023

TapMo: Shape-aware Motion Generation of Skeleton-free Characters.
CoRR, 2023

Masked Frequency Modeling for Self-Supervised Visual Pre-Training.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-Consistent Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Delving into Inter-Image Invariance for Unsupervised Visual Representations.
Int. J. Comput. Vis., 2022

Style-ERD: Responsive and Coherent Online Motion Style Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Unified Mixture-View Framework for Unsupervised Representation Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
DetCo: Unsupervised Contrastive Learning for Object Detection.
CoRR, 2021

Unsupervised Object-Level Representation Learning from Scene Images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DetCo: Unsupervised Contrastive Learning for Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Beyond Single Instance Multi-view Unsupervised Representation Learning.
CoRR, 2020

Online Deep Clustering for Unsupervised Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Scene De-Occlusion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Cluster Faces via Confidence and Connectivity Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Open Compound Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Compound Domain Adaptation in an Open World.
CoRR, 2019

Switchable Whitening for Deep Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Learning via Conditional Motion Propagation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Cluster Faces on an Affinity Graph.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Large-Scale Long-Tailed Recognition in an Open World.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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